historical background: i2 and cbmm - wellesley...
TRANSCRIPT
Vision Accumulated knowledge and technology, now in place, enables a rapid leap in our scientific understanding of intelligence and our ability to replicate intelligence in engineered systems. !!Mission We aim to create a new field by bringing together computer scientists, cognitive scientists and neuroscientists to work in close collaboration. The new field – the Science and Engineering of Intelligence – is dedicated to developing a computationally centered understanding of human intelligence and to establishing an engineering practice based on that understanding.
Machine Learning Computer Science
Science + Technology of Intelligence
Convergence of progress: a key opportunityVision for CBMM
Cognitive Science
Neuroscience Computational Neuroscience
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MITBoyden, Desimone ,Kaelbling , Kanwisher,
Katz, Poggio, Sassanfar, Saxe, Schulz, Tenenbaum, Ullman, Wilson,
Rosasco, Winston
HarvardBlum, Kreiman, Mahadevan, Nakayama, Sompolinsky,
Spelke, Valiant
CornellHirsh
Hunter Wellesley Puerto Rico Howard
Allen Ins:tuteKoch
RockefellerFreiwald
UCLAYuille
StanfordGoodman
Epstein,... Hildreth, Conway... Bykhovaskaia, Vega... Manaye,...
City U. HKSmale
Hebrew U.Shashua
IITMeOa, Rosasco,
Sandini
MPIBuelthoff
WeizmannUllman
GoogleNorvig
IBMLemnios
MicrosoHBlake
Genoa U.Verri Raghavan
NCBS
Schlumberger GE Siemens
OrcamShashua
MobilEyeShashua
Rethink Robo:csBrooks
Boston Dynamics
Raibert
DeepMindHassabis
A*starTan
Thrust 5: Theory of IntelligenceTomaso Poggio
Thrust 2: Circuits for Intelligence
Thrust 3: Visual Intelligence
Thrust 4: Social Intelligence
Thrust 1: Development of Intelligence
Josh Tenenbaum Gabriel Kreiman
Shimon Ullman Nancy Kanwisher
The core CBMM challenge: measuring progress
The core challenge is to develop computaYonal models from experiments that answer quesYons about images and videos such as • what is there / who is there / what is the person doing and eventually more difficult quesYons such as • who is doing what to whom? • what happens next? at the computaYonal, psychophysical and neural levels.
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The who question: face recognition from experiments to theory
CBMM Challenge
Visual Intelligence
Social Intelligence
Neural Circuits of Intelligence
Model ML AL AM